Categorías:
Ingeniería industrial
Etiquetas:
aerial robotics
automated driving
autonomous vehicles
computer vision
connected driving
cooperative driving
drones
UAV
unmanned aerial vehicles

AUTONOMOUS VEHICLES

 

Course Dates: 15 to 19 July 2024

Course Venue: INSIA (Institute of Automobile Research) & Aula R2 at School of Industrial Engineering (ETSII-UPM)

Contact Hours: 20

Course Directors: Felipe Jiménez & Pascual Campoy

 

 

PART I: Cooperative, Connected and Autonomous Driving

 

The purpose of this course is to provide an overview of the state of the art and the key enabling technologies in the field of cooperative, connected and autonomous vehicles, such as positioning systems, environment perception and inter-vehicle communication. Students will analyse autonomous and connected driving applications and vehicle positioning requirements, be introduced to environment understanding technologies and autonomous vehicle decision-making algorithms, and compare vehicle communications technologies.

 

PART II: DRONES

 

The civil applications of unmanned aerial vehicles (UAV) (also known as remotely piloted systems RPAS or commonly drones) are increasing. This short course mainly focuses on so-called multirotor drones. The two main challenges at present are endurance dependency on the electrical power supply (i.e. batteries) and autonomous maneuvering in relation to the dynamic, changing environment.  This course provides a general overview of the different technologies involved in the execution of autonomous missions with drones, including the study of the flight system itself, estimation of positioning relative to the environment, and the control of these for maneuvering, as well as the definition and execution of complex high-level missions. Various industrial applications carried out by the Computer Vision and Aerial Robotics Research Group at the Universidad Politécnica de Madrid will also be presented, along with the current scientific and technological challenges faced by the international scientific community.

 

Key course takeaways:

  • Understanding of the technological foundations of autonomous, connected and cooperative driving.
  • Understanding of the key effects, challenges and experiences of autonomous and connected vehicles
  • Knowledge of drone flight capablity, components, working principles and challenges
  • Knowledge of drone autonomy, components, working principles and challenges
  • Knowledge of multiple civil applications of drones
  • Drone programming experience
  • Lab visit

 

Student profile:

This course is aimed at bachelor-level students with basic knowledge of physics and algebra (first year undergraduate).

 

Registration deadlines:

  • Early bird registration:  29 February 2024 (USE CODE: SUMMEREB24)
  • Regular registration: 19 April 2024

La inscripción ha finalizado.

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